What consideration should be made when loading data into Snowflake?
What consideration should be made when loading data into Snowflake?
The number of data files that are processed in parallel is determined by the virtual warehouse. Snowflake's architecture relies on the compute resources of the virtual warehouse to manage the parallel processing of data files. Larger virtual warehouses have more compute resources, allowing them to process more files simultaneously, while smaller warehouses have fewer resources and thus handle fewer files in parallel.
Number of parallel files can be achieved with small warehouse also, how large each file determine size of warehouse
D The number of data files that can be processed in parallel is determined by the amount of compute resources in a warehouse. https://docs.snowflake.com/en/user-guide/data-load-considerations-plan
... Unless you are bulk loading a large number of files concurrently (i.e. hundreds or thousands of files), a smaller warehouse (Small, Medium, Large) is generally sufficient. Using a larger warehouse (X-Large, 2X-Large, etc.) will consume more credits and may not result in any performance increase. I think it is A
agree, D
D probably